Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.
AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.
OKLAHOMA CITY — Artificial intelligence is everywhere from our smartphones to self-driving cars, even at the grocery store. Everything is getting smarter. So, why shouldn't severe weather forecasts ...
A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...
Researchers have developed Aardvark Weather, the first machine learning system that generates accurate global and local weather forecasts directly from observational data—eliminating the need for ...
PALM BEACH, Fla., Dec. 12, 2024 (GLOBE NEWSWIRE) -- FN Media Group News Commentary - Most industry insiders believe that Quantum Computing is potentially a better fit for weather forecasting than ...
When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...
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